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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” The top-line result was that 97% of data engineers are feeling burnout. This is the equivalent advice for data teams provided to software teams in the classic “Mythical Man Month.” A better ETL tool?

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Moving Past ETL and ELT: Understanding the EtLT Approach

Ascend.io

Still, these methods have been overshadowed by EtLT — the predominant approach reshaping today’s data landscape. In this article, we assess: The role of the data warehouse on one hand, and the data lake on the other; The features of ETL and ELT in these two architectures; The evolution to EtLT; The emerging role of data pipelines.

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Data Engineering Weekly #127

Data Engineering Weekly

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make collecting data from every application, website, and SaaS platform easy, then activating it in your warehouse and business tools. Sign up free to test out the tool today. 🎁 Take the survey now!

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How to Use ChatGPT ETL Prompts For Your ETL Game

Monte Carlo

Can you help me craft a Python script that uses the tweepy library to get the most recent 100 tweets from a given user handle? Can you provide a Python snippet using the pandas library to help me filter this data? Web sources I want to extract the titles of articles from Fox News’ homepage.

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What is the ETL Process?

Grouparoo

The ETL data integration process has been around for decades and is an integral part of data analytics today. In this article, we’ll look at what goes on in the ETL process and some modern variations that are better suited to our modern, data-driven society. What is ETL? featured image via unsplash

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Azure Data Engineer Prerequisites [Requirements & Eligibility]

Knowledge Hut

Effective data utilization also plays a pivotal role in enhancing customer service, contributing to the surge in demand for professionals in this field. Within the Microsoft Azure ecosystem, the role of an Azure data engineer stands out as one of the most sought-after positions.

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Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

Data analysts and engineers can run the queries they want to run when they want to run them without worrying about excessive load times or statement timeouts. A company’s production data, third-party ads data, click stream data, CRM data, and other data are hosted on various systems.